Browsing by Subject "J.3 [Computer Applications]: Life and Medical Sciences—"

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    • Visual Analysis of Missing Values in Longitudinal Cohort Study Data 

      Alemzadeh, S.; Niemann, U.; Ittermann, T.; Völzke, H.; Schneider, D.; Spiliopoulou, M.; Bühler, K.; Preim, B. (© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2020)
      Attrition or dropout is the most severe missingness problem in longitudinal cohort study data where some participants do not show up for follow‐up examinations. Dropouts result in biased data and cause the reduction of ...